Michele La Rocca

According to our database, Michele La Rocca authored at least 21 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Correction to: Effective signal reconstruction from multiple ranked lists via convex optimization.

Michael G. Schimek, Luca Vitale, Bastian Pfeifer, Michele La Rocca

Data Min. Knowl. Discov., May, 2024

Effective signal reconstruction from multiple ranked lists via convex optimization.

Michael G. Schimek, Luca Vitale, Bastian Pfeifer, Michele La Rocca

Data Min. Knowl. Discov., May, 2024

Correction to: Bootstrapping binary GEV regressions for imbalanced datasets.

Michele La Rocca, Marcella Niglio, Marialuisa Restaino

Comput. Stat., February, 2024

Bootstrapping binary GEV regressions for imbalanced datasets.

Michele La Rocca, Marcella Niglio, Marialuisa Restaino

Comput. Stat., February, 2024

Evaluating Forecast Distributions in Neural Network HAR-Type Models for Range-Based Volatility.

Michele La Rocca, Cira Perna

Proceedings of the Engineering Applications of Neural Networks, 2024

2023

Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines.

Michele La Rocca, Cira Perna

Proceedings of the Engineering Applications of Neural Networks, 2023

2022

Technological Strategies and Quality of Invention: The Role of Knowledge Base and Technical Applications.

Antonello Cammarano, Francesca Michelino, Maria Prosperina Vitale, Michele La Rocca, Mauro Caputo

IEEE Trans. Engineering Management, 2022

Deep learning for volatility forecasting in asset management.

Alessio Petrozziello, Luigi Troiano, Angela Serra, Ivan Jordanov, Giuseppe Storti, Roberto Tagliaferri, Michele La Rocca

Soft Comput., 2022

2021

Clustering nonlinear time series with neural network bootstrap forecast distributions.

Michele La Rocca, Francesco Giordano, Cira Perna

Int. J. Approx. Reason., 2021

Bootstrap joint prediction regions for sequences of missing values in spatio-temporal datasets.

Maria Lucia Parrella, Giuseppina Albano, Cira Perna, Michele La Rocca

Comput. Stat., 2021

2019

Volatility Modelling for Air Pollution Time Series.

Giuseppina Albano, Michele La Rocca, Cira Perna

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

2017

Clustering complex time-series databases by using periodic components.

Francesco Giordano, Michele La Rocca, Maria Lucia Parrella

Stat. Anal. Data Min., 2017

On the Imputation of Missing Values in Univariate PM_10 P M 10 Time Series.

Giuseppina Albano, Michele La Rocca, Cira Perna

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

2016

Non Linear Time Series Analysis of Air Pollutants with Missing Data.

Giuseppina Albano, Michele La Rocca, Cira Perna

Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

2012

Testing the Weak Form Market Efficiency: Empirical Evidence from the Italian Stock Exchange.

Giuseppina Albano, Michele La Rocca, Cira Perna

Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

2008

Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence.

Francesco Giordano, Michele La Rocca, Cira Perna

Proceedings of the New Directions in Neural Networks, 2008

A multiple testing procedure for input variable selection in neural networks.

Michele La Rocca, Cira Perna

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007

Forecasting nonlinear time series with neural network sieve bootstrap.

Francesco Giordano, Michele La Rocca, Cira Perna

Comput. Stat. Data Anal., 2007

2005

Variable selection in neural network regression models with dependent data: a subsampling approach.

Michele La Rocca, Cira Perna

Comput. Stat. Data Anal., 2005

Neural Network Modeling by Subsampling.

Michele La Rocca, Cira Perna

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

2001

Standard Error Estimation in Neural Network Regression Models: the AR-Sieve Bootstrap Approach.

Francesco Giordano, Michele La Rocca, Cira Perna

Proceedings of the 12th Italian Workshop on Neural Nets, 2001